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David, N., Sichman, J. S., Coelho, H. & Marietto, M. B. (2004). The structure and logic of interdisciplinary research in agent-based social simulation. Journal of Artificial Societies and Social Simulation. 7 (3)

N. M. David et al.,  "The structure and logic of interdisciplinary research in agent-based social simulation", in Journal of Artificial Societies and Social Simulation, vol. 7, no. 3, 2004

@article{david2004_1742021481454,
	author = "David, N. and Sichman, J. S. and Coelho, H. and Marietto, M. B.",
	title = "The structure and logic of interdisciplinary research in agent-based social simulation",
	journal = "Journal of Artificial Societies and Social Simulation",
	year = "2004",
	volume = "7",
	number = "3",
	url = "http://jasss.soc.surrey.ac.uk/7/3/4.html"
}

TY  - JOUR
TI  - The structure and logic of interdisciplinary research in agent-based social simulation
T2  - Journal of Artificial Societies and Social Simulation
VL  - 7
IS  - 3
AU  - David, N.
AU  - Sichman, J. S.
AU  - Coelho, H.
AU  - Marietto, M. B.
PY  - 2004
SN  - 1460-7425
UR  - http://jasss.soc.surrey.ac.uk/7/3/4.html
AB  - This article reports an exploratory survey of the structure of interdisciplinary research in Agent-Based Social Simulation. One hundred and ninety six researchers participated in the survey completing an on-line questionnaire. The questionnaire had three distinct sections, a classification of research domains, a classification of models, and an inquiry into software requirements for designing simulation platforms. The survey results allowed us to disambiguate the variety of scientific goals and modus operandi of researchers with a reasonable level of detail, and to identify a classification of agent-based models used in simulation. In particular, in the interdisciplinary context of social-scientific modelling, agent-based computational modelling and computer engineering, we analyse the extent to which these paradigmatic models seem to be mutually instrumental in the field. We expect that our proposal may improve the viability of submitting, explaining and comparing agent-based simulations in articles, which is an important methodological requirement to consolidate the field. We also expect that it will motivate other proposals that could further validate, extend or change ours, in order to refine the classification with more types of models. 
ER  -